Datadog Cloud SIEM vs Splunk Enterprise Security: 2026 Comparison

Datadog Cloud SIEM

Security teams already running Datadog for infrastructure and application observability should adopt Cloud SIEM to correlate security events with the underlying systems generating them; this eliminates the blind spot of traditional SIEMs that ingest logs in isolation. The platform covers continuous monitoring and incident response (NIST DE.CM and RS.MA), with multi-cloud log ingestion across AWS, Azure, and GCP built in rather than bolted on. Skip this if your priority is forensic depth or compliance reporting; Cloud SIEM is built for detection speed and operational context, not exhaustive audit trails.

Splunk Enterprise Security

Mid-market and enterprise security teams with mature detection programs need Splunk Enterprise Security for alert fatigue reduction, not raw event collection. Risk-Based Alerting cuts false positives by surfacing genuine threats first, while built-in SOAR automation and UEBA handle investigation at scale; the platform covers detection and response workflows with particular strength in incident analysis and mitigation (RS.AN, RS.MI). Skip this if your primary need is asset discovery or you're still building foundational monitoring; Splunk assumes you already have detection signals worth prioritizing.